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Christopher Mainey
Experienced NHS data scientist with interests in predictive modelling, machine learning, text mining, and teaching
My work focuses on modelling National Health Service (NHS) data, primarily using national Hospital Episode Statistics (HES). I work primarily in R and SQL Server, and have experience with statistical modelling and machine learning methods. I have recently submitted my PhD thesis, on modelling methods for NHS incident reporting data, to UCL.
I advise and train hospitals, commissioners, regulators and the private sector on using data to manage hospitals, monitor mortality, performance, and quality. I am an experienced trainer, presenter and post-grad teacher. I have built and released several R packages and am a keen contributor to the NHS-R Community. I lead a local R usergroup, and run a programme of R training courses for HED.
Key skills
Education
University College London (UCL)
PhD applied Statistics and Machine Learning
London, UK
2019 (submitted)
Thesis: Statistical Methods for NHS incident reporting data
University of Birmingham
PGCert. Public Health
Birmingham, UK
2014
MPH programme, left partially unfinished due to commencing PhD, finished as PGCert instead.
CIPD / City College Coventry
CIPD Certificate in Training Practice
Coventry, UK
2009
University of Manchester
BSc Microbiology with Industrial Experience
Birmingham, UK
2014
Thesis: A model of Pseudomonas aeruginosa in the Cystic Fibrosis lung. Placement: One-year with Arch Biocides
Experience
Intelligence Analyst
Healthcare Evaluation Data (HED), Health Informatics, University Hospitals Birmingham NHS FT
Birmingham, UK
2012 - 2019
- Statistical lead and senior analyst, focussed on building predictive models in
Rand SAS, indicator design, SQL database infrastructure and processes, as well as quality assurance. - Building on-line national benchmarking analysis tools, available from www.hed.nhs.uk .
- Highly involved in customer support, training and translating between analysts, business team and users.
- Line management and team work planning, using Agile methods.
- Run local
Rusergroup, contributing to national NHS-Community, and have established a commercialRtraining programme.
Data Manager (AIR Study)
Clinical Immunology (sub-contracted from UHB), University of Birmingham
Birmingham, UK
2012 - 2016
- Data extraction and outcome linkage for trial participants, from UHB attendance and clinical data systems.
Informatics Analyst
Health Informatics, University Hospitals Birmingham NHS FT
Birmingham, UK
2011 - 2012
- Producing monthly reporting outputs for UHB clinical and performance management functions
- Specialist analysis, dashboard building, and information development for HIV service.
Cancer Informatics Analyst
Arden Cancer Network
Coventry, UK
2010 - 2011
- Informatics support for network service improvement projects.
- Constructed cancer waiting times reporting system and various automated templates.
Information Office
West Midlands Cancer Intelligence Unit (WMCIU)
Birmingham, UK
2009 - 2010
- Producing statistics for information requests.
- Investigative analysis, e.g. difference from nationally published figures and research data
- Supervising/validating work of junior analysts.
Teaching Experience
Use of Evidence.
First year UCL medical school course on study design and statistics. Led a tutorial group over course and delivered lectures to full course group.
London, UK
2016 - 2018
Statistical Methods in Epidemiology
Teaching assistant on MSc Data Science for Health, UCL Farr Institute/LSHTM
London, UK
2016 - 2017
Selected Publications and Posters
Modelling Incident Reporting in the NHS
Poster for Royal Statistical Society Conference
Cardiff, UK
2018
Mainey C, Freemantle N
Can we build statistical models of incident reporting in the NHS?
Poster for Patient Safety Congress Conference
Manchester, UK
2017
Mainey C
Brief Report: Immunization of HIV-Infected Adults in the UK With Haemophilus influenzae b/Meningococcal C Glycoconjugate and Pneumococcal Polysaccharide Vaccines
J Acquir Immune Defic Syndr. 2016 Nov 1;73(3):287-293.
N/A
2016
MacLennan C, Richter A, Hodson J, Faustini S, Birtwistle J, Whitelegg A, Chigiga J, Singo M, Walker-Haywood J, Mulugeta B, Masuka S, Mainey C, Plant T, Drayson M; Manavi K